Location: Remote — 4-week trial is fully remote, with the option to work from our San Francisco office (accommodations provided). If offered a full-time role, the position is in-person at our San Francisco HQ.
Employment Type: 4-Week Paid Trial
🌟 About Us New Lantern is building AI for radiologists. We’ve raised $24M from Benchmark, Anthropic, and others, and we deliver on multi-million dollar contracts with radiology practices, imaging clinics, and health systems. We’re looking for new grad builders who want to ship things that matter from day one
🏆 The Program New Grad Olympics is a 4-week paid trial for new grad AI product engineers. Apply, complete a build challenge, and compete on a public leaderboard. Top 3 on the leaderboard earn automatic entry into the program. The remaining spots are filled through review of your coding submission and an intro call. 10 candidates work alongside our team for four weeks, and top performers receive full-time offers.
✅ What We're Looking For
Builder mentality — Eager to learn, hungry to build.
Full-stack capability — you don't box yourself into one part of the stack.
Product instinct — you think about the user, not just the code.
Speed and intensity — you match the pace of a fast-moving startup.
User empathy — you care about who's using what you build.
Low ego, high curiosity — you seek feedback and learn fast.
Familiarity with Django, Python, AWS, HL7, DICOM, or PACS — a plus, but not required. We'll train you on everything domain-specific.
🎯 Why Join Us?
Ship from week one. Your code is used by radiologists doing real patient care.
Embrace learning. Work alongside the brightest engineers in the world.
Forward Deployed. Sit closely with our customers to build something they want.
Real business. Well-funded, growing, already generating enterprise revenue — you’re here to scale something that works.
Earn your offer. Top performers convert to full-time Software Engineers with competitive salary, equity, and benefits.
New Lantern is an equal opportunity employer that values inclusion and diversity across our team. We are committed to equal opportunity for all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.
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